کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8284831 | 1535604 | 2015 | 38 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Statistical strategies and stochastic predictive models for the MARK-AGE data
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
سالمندی
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چکیده انگلیسی
MARK-AGE aims at the identification of biomarkers of human aging capable of discriminating between the chronological age and the effective functional status of the organism. To achieve this, given the structure of the collected data, a proper statistical analysis has to be performed, as the structure of the data are non trivial and the number of features under study is near to the number of subjects used, requiring special care to avoid overfitting. Here we described some of the possible strategies suitable for this analysis. We also include a description of the main techniques used, to explain and justify the selected strategies. Among other possibilities, we suggest to model and analyze the data with a three step strategy:
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanisms of Ageing and Development - Volume 151, November 2015, Pages 45-53
Journal: Mechanisms of Ageing and Development - Volume 151, November 2015, Pages 45-53
نویسندگان
Enrico Giampieri, Daniel Remondini, Maria Giulia Bacalini, Paolo Garagnani, Chiara Pirazzini, Stella Lukas Yani, Cristina Giuliani, Giulia Menichetti, Isabella Zironi, Claudia Sala, Miriam Capri, Claudio Franceschi, Alexander Bürkle, Gastone Castellani,